Information & Analytics Placement Programme

RWE AG; Swindon; On-site; GBP 13,000 - 20,000; Full time

Benefits offered by this job

Retirement plan top up

Life assurance 4x annual salary

Flexible benefits

Volunteer days

Health and wellbeing support

Job summary

RWE Generation UK invites you to join its Information & Analytics Placement Programme in Swindon. You will work within the Gas Asset Management group on developing and operating expert digital systems like Mara and CPM to maximise asset performance.

You will apply data analytics, visualization tools, and programming (Python) to real use cases, learning new techniques while supporting data quality monitoring and collaboration with IT and generation teams.

Qualifications

• Pursuing a degree in Engineering with an interest in the energy industry.
• Strong aptitude in data science and analytical methods is essential.
• Familiarity with Seeq, PI Vision and Python is advantageous.

Responsibilities

• Be part of developing and operating expert digital systems (e.g., Mara, CPM).
• Apply data analytics and visualization techniques to real use cases.
• Support data quality monitoring and collaborate with Generation and IT teams.
• Assist with applying new skills and learning to improve asset performance.

Skills

Data science

Analytical methods

Education

Engineering degree

Tools

Seeq

PI Vision

Python

Job description

Information & Analytics Placement Programme

Location(s): Swindon, Wiltshire, GB, SN5 6PB

RWE Generation UK
Start date on 28th June 2027,full time, fixed term (13 months)

Are you interested in a placement with one of the UK’s largest energy producers? Our Gas Asset Management group has an exciting industrial placement opportunity and is looking for a motivated team member with excellent interpersonal skills!

RWE Generation’s Gas Asset Management group supports our portfolio of gas fired power stations across Europe.Our Information & Analytics placement role will allow you to work within this group, focussing on the development and use of expert systems for monitoring and optimisation of our power station assets. Members of the team have developed these expert systems and models through the Digitalisation atRWE Generation programme, creating products such as the Maintenance & Asset Reliability Assistant (Mara) and the Centralised Performance Monitoring (CPM) Dashboard. We embrace our responsibility towards the environment and are committed to continually improving our performance for both generation and the environment.

About the role

• Be part of the development and operation of expert digital systems, such as Mara and CPM. These digital tools are designed to make the best use of our data and transform our business.
• Develop your understanding of applying the latest digital tools and analytical techniques to real use cases to improve business performance.
• Be involved with developing and using data analytics and visualisation tools, such as creating failure models for the power station equipment.
• Support experienced colleagues in the Generation and IT areas, including the monitoring of data quality, then applying your skills, and learning new ones.

Job requirements and experience

• Ideally, you are pursuing a degree in an Engineering discipline (preferably Mechanical or Chemical/Process), with an interest in the energy industry and knowledge of engineering fundamentals such as thermodynamics.
• A strong aptitude in data science and analytical methods is essential.

You will be using the latest analytical and visualisation tools, such as Seeq, PI Vision, and programming languages such as Python.

• A personal retirement savings plan – if you put in 5% we will top up by a further 10% and you will get life assurance worth 4 x annual salary.
• 25 days annual leave plus bank holidays, pro-rata.
• Access to flexible benefits such as Critical Illness, Dental Plan, Health Cash Plan, Share Incentive Plan, Cycle2Work, Electric Car Lease Scheme, Buy Additional Annual Leave and retail savings scheme.
• Occupational Health support services for your wellbeing.
• Access to our employee assistance programme in times of need.
• Up to 2 days volunteering a year.

To view a preview of our benefits site ‘YourHub’ and see some of the other benefits we have on offer please visit YourHub .

Advert will close early if sufficient applications are received.

The Assessment Centre will take place on Tuesday 24th November 2026 face to face at DoubleTree by Hilton Swindon, Lydiard Fields, Great Western Way, Swindon, Wilts SN5 8UZ. Accommodation will be booked on your behalf and travel subsidised by RWE. The evening prior to the Assessment Centre a meal will be held at DoubleTree by Hilton which you will be required to attend.

We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Facebook, YouTube and Xing, too.

We value diversity and therefore welcome all applications - regardless of gender, disability, nationality, ethnic and social origin, religion/belief, age, sexual orientation, and identity. #inclusionmatters

RWE Generation provides a flexible mix for a powerful future. With a team of around 3,500 employees, the company operates flexible gas power plants, bioenergy facilities, and hydropower stations in Germany, the Netherlands, the UK, and Turkey. These assets play a vital role in balancing the supply of renewable energy during periods of fluctuation, thereby ensuring the stability of the power grid. Recognising the importance of energy storage, RWE Generation is integrating battery systems into its operations and pioneering hydrogen-powered technologies - an essential element for storing renewable energy for when it is needed most. As a long-standing partner for the regions in which we operate, our reliable, clean and flexible assets enable us to play a key role in decarbonising the energy system. Our team continues to be inventive, using their experience, talent and sunrise technologies to be the cornerstone our society can rely on.